Journals / Ege Üniversitesi Ziraat Fakültesi Dergisi / 2016 / Cilt: 53 - Sayı: 2

Clustering of Holstein Friesians Using K-Means Method

Siyah Alacalar’ın K-Ortalamalı Kümeleme Yöntemi İle Sınıflandırılması

Pages
147–151
Publication Date
2016-06-22
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In the third cluster Holsteins which have the highest milk yield, the lowest age of first calving and 305-day lactation period were proposed for breeding programs.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:By cluster analysis units or variables can be grouped according to similarities or differences in terms of their properties.
📊
Key Findings & Data:In this study total of 4496 Holstein Friesian cows were grouped two, three and four clusters according to their herd, age at first calving, lactation length and 305 day milk yields.
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Conclusion & Impact:In the third cluster Holsteins which have the highest milk yield, the lowest age of first calving and 305-day lactation period were proposed for breeding programs.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Siyah alaca · süt verimi · kümeleme

Abstract

By cluster analysis units or variables can be grouped according to similarities or differences in terms of their properties. In this study total of 4496 Holstein Friesian cows were grouped two, three and four clusters according to their herd, age at first calving, lactation length and 305 day milk yields. Nonhierarchical k-means clustering technique is used for this purpose. Related traits were found statically significant for clustering of Holsteins (P<0.01). Holsteins were divided into three clusters and these clusters were found statistically different (P<0.01). The correct classification percentage of cows was 98%. In the third cluster Holsteins which have the highest milk yield, the lowest age of first calving and 305-day lactation period were proposed for breeding programs.

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Cite This Article

TAKMA, Ç., GÜNERİ, Ö. İ., AKBAŞ, Y. (2016). Clustering of Holstein Friesians Using K-Means Method. Ege Üniversitesi Ziraat Fakültesi Dergisi, Cilt: 53 - Sayı: 2, 147–151. https://ajindex.com/articles/50392

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